{
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"
    }
   },
   "cell_type": "markdown",
   "id": "9fc3897d-176f-4729-8fd1-cfb4add53abd",
   "metadata": {},
   "source": [
    "## Chroma multi-modal RAG\n",
    "\n",
    "Many documents contain a mixture of content types, including text and images. \n",
    "\n",
    "Yet, information captured in images is lost in most RAG applications.\n",
    "\n",
    "With the emergence of multimodal LLMs, like [GPT-4V](https://openai.com/research/gpt-4v-system-card), it is worth considering how to utilize images in RAG:\n",
    "\n",
    "`Option 1:` (Shown) \n",
    "\n",
    "* Use multimodal embeddings (such as [CLIP](https://openai.com/research/clip)) to embed images and text\n",
    "* Retrieve both using similarity search\n",
    "* Pass raw images and text chunks to a multimodal LLM for answer synthesis \n",
    "\n",
    "`Option 2:` \n",
    "\n",
    "* Use a multimodal LLM (such as [GPT-4V](https://openai.com/research/gpt-4v-system-card), [LLaVA](https://llava.hliu.cc/), or [FUYU-8b](https://www.adept.ai/blog/fuyu-8b)) to produce text summaries from images\n",
    "* Embed and retrieve text \n",
    "* Pass text chunks to an LLM for answer synthesis \n",
    "\n",
    "`Option 3` \n",
    "\n",
    "* Use a multimodal LLM (such as [GPT-4V](https://openai.com/research/gpt-4v-system-card), [LLaVA](https://llava.hliu.cc/), or [FUYU-8b](https://www.adept.ai/blog/fuyu-8b)) to produce text summaries from images\n",
    "* Embed and retrieve image summaries with a reference to the raw image \n",
    "* Pass raw images and text chunks to a multimodal LLM for answer synthesis   \n",
    "\n",
    "This cookbook highlights `Option 1`: \n",
    "\n",
    "* We will use [Unstructured](https://unstructured.io/) to parse images, text, and tables from documents (PDFs).\n",
    "* We will use Open Clip multi-modal embeddings.\n",
    "* We will use [Chroma](https://www.trychroma.com/) with support for multi-modal.\n",
    "\n",
    "A separate cookbook highlights `Options 2 and 3` [here](https://github.com/langchain-ai/langchain/blob/master/cookbook/Multi_modal_RAG.ipynb).\n",
    "\n",
    "![chroma_multimodal.png](attachment:1920fda3-1808-407c-9820-f518c9c6f566.png)\n",
    "\n",
    "## Packages\n",
    "\n",
    "For `unstructured`, you will also need `poppler` ([installation instructions](https://pdf2image.readthedocs.io/en/latest/installation.html)) and `tesseract` ([installation instructions](https://tesseract-ocr.github.io/tessdoc/Installation.html)) in your system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "febbc459-ebba-4c1a-a52b-fed7731593f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "! pip install -U langchain openai chromadb langchain-experimental # (newest versions required for multi-modal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acbdc603-39e2-4a5f-836c-2bbaecd46b0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# lock to 0.10.19 due to a persistent bug in more recent versions\n",
    "! pip install \"unstructured[all-docs]==0.10.19\" pillow pydantic lxml pillow matplotlib tiktoken open_clip_torch torch"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e94b3fb-8e3e-4736-be0a-ad881626c7bd",
   "metadata": {},
   "source": [
    "## Data Loading\n",
    "\n",
    "### Partition PDF text and images\n",
    "  \n",
    "Let's look at an example pdfs containing interesting images.\n",
    "\n",
    "1/ Art from the J Paul Getty museum:\n",
    "\n",
    " * Here is a [zip file](https://drive.google.com/file/d/18kRKbq2dqAhhJ3DfZRnYcTBEUfYxe1YR/view?usp=sharing) with the PDF and the already extracted images. \n",
    "* https://www.getty.edu/publications/resources/virtuallibrary/0892360224.pdf\n",
    "\n",
    "2/ Famous photographs from library of congress:\n",
    "\n",
    "* https://www.loc.gov/lcm/pdf/LCM_2020_1112.pdf\n",
    "* We'll use this as an example below\n",
    "\n",
    "We can use `partition_pdf` below from [Unstructured](https://unstructured-io.github.io/unstructured/introduction.html#key-concepts) to extract text and images.\n",
    "\n",
    "To supply this to extract the images:\n",
    "```\n",
    "extract_images_in_pdf=True\n",
    "```\n",
    "\n",
    "\n",
    "\n",
    "If using this zip file, then you can simply process the text only with:\n",
    "```\n",
    "extract_images_in_pdf=False\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9646b524-71a7-4b2a-bdc8-0b81f77e968f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Folder with pdf and extracted images\n",
    "path = \"/Users/rlm/Desktop/photos/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bc4839c0-8773-4a07-ba59-5364501269b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract images, tables, and chunk text\n",
    "from unstructured.partition.pdf import partition_pdf\n",
    "\n",
    "raw_pdf_elements = partition_pdf(\n",
    "    filename=path + \"photos.pdf\",\n",
    "    extract_images_in_pdf=True,\n",
    "    infer_table_structure=True,\n",
    "    chunking_strategy=\"by_title\",\n",
    "    max_characters=4000,\n",
    "    new_after_n_chars=3800,\n",
    "    combine_text_under_n_chars=2000,\n",
    "    image_output_dir_path=path,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "969545ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Categorize text elements by type\n",
    "tables = []\n",
    "texts = []\n",
    "for element in raw_pdf_elements:\n",
    "    if \"unstructured.documents.elements.Table\" in str(type(element)):\n",
    "        tables.append(str(element))\n",
    "    elif \"unstructured.documents.elements.CompositeElement\" in str(type(element)):\n",
    "        texts.append(str(element))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d8e6349-1547-4cbf-9c6f-491d8610ec10",
   "metadata": {},
   "source": [
    "## Multi-modal embeddings with our document\n",
    "\n",
    "We will use [OpenClip multimodal embeddings](https://python.langchain.com/docs/integrations/text_embedding/open_clip).\n",
    "\n",
    "We use a larger model for better performance (set in `langchain_experimental.open_clip.py`).\n",
    "\n",
    "```\n",
    "model_name = \"ViT-g-14\"\n",
    "checkpoint = \"laion2b_s34b_b88k\"\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4bc15842-cb95-4f84-9eb5-656b0282a800",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import uuid\n",
    "\n",
    "import chromadb\n",
    "import numpy as np\n",
    "from langchain_community.vectorstores import Chroma\n",
    "from langchain_experimental.open_clip import OpenCLIPEmbeddings\n",
    "from PIL import Image as _PILImage\n",
    "\n",
    "# Create chroma\n",
    "vectorstore = Chroma(\n",
    "    collection_name=\"mm_rag_clip_photos\", embedding_function=OpenCLIPEmbeddings()\n",
    ")\n",
    "\n",
    "# Get image URIs with .jpg extension only\n",
    "image_uris = sorted(\n",
    "    [\n",
    "        os.path.join(path, image_name)\n",
    "        for image_name in os.listdir(path)\n",
    "        if image_name.endswith(\".jpg\")\n",
    "    ]\n",
    ")\n",
    "\n",
    "# Add images\n",
    "vectorstore.add_images(uris=image_uris)\n",
    "\n",
    "# Add documents\n",
    "vectorstore.add_texts(texts=texts)\n",
    "\n",
    "# Make retriever\n",
    "retriever = vectorstore.as_retriever()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02a186d0-27e0-4820-8092-63b5349dd25d",
   "metadata": {},
   "source": [
    "## RAG\n",
    "\n",
    "`vectorstore.add_images` will store / retrieve images as base64 encoded strings.\n",
    "\n",
    "These can be passed to [GPT-4V](https://platform.openai.com/docs/guides/vision)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "344f56a8-0dc3-433e-851c-3f7600c7a72b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import base64\n",
    "import io\n",
    "from io import BytesIO\n",
    "\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "\n",
    "\n",
    "def resize_base64_image(base64_string, size=(128, 128)):\n",
    "    \"\"\"\n",
    "    Resize an image encoded as a Base64 string.\n",
    "\n",
    "    Args:\n",
    "    base64_string (str): Base64 string of the original image.\n",
    "    size (tuple): Desired size of the image as (width, height).\n",
    "\n",
    "    Returns:\n",
    "    str: Base64 string of the resized image.\n",
    "    \"\"\"\n",
    "    # Decode the Base64 string\n",
    "    img_data = base64.b64decode(base64_string)\n",
    "    img = Image.open(io.BytesIO(img_data))\n",
    "\n",
    "    # Resize the image\n",
    "    resized_img = img.resize(size, Image.LANCZOS)\n",
    "\n",
    "    # Save the resized image to a bytes buffer\n",
    "    buffered = io.BytesIO()\n",
    "    resized_img.save(buffered, format=img.format)\n",
    "\n",
    "    # Encode the resized image to Base64\n",
    "    return base64.b64encode(buffered.getvalue()).decode(\"utf-8\")\n",
    "\n",
    "\n",
    "def is_base64(s):\n",
    "    \"\"\"Check if a string is Base64 encoded\"\"\"\n",
    "    try:\n",
    "        return base64.b64encode(base64.b64decode(s)) == s.encode()\n",
    "    except Exception:\n",
    "        return False\n",
    "\n",
    "\n",
    "def split_image_text_types(docs):\n",
    "    \"\"\"Split numpy array images and texts\"\"\"\n",
    "    images = []\n",
    "    text = []\n",
    "    for doc in docs:\n",
    "        doc = doc.page_content  # Extract Document contents\n",
    "        if is_base64(doc):\n",
    "            # Resize image to avoid OAI server error\n",
    "            images.append(\n",
    "                resize_base64_image(doc, size=(250, 250))\n",
    "            )  # base64 encoded str\n",
    "        else:\n",
    "            text.append(doc)\n",
    "    return {\"images\": images, \"texts\": text}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23a2c1d8-fea6-4152-b184-3172dd46c735",
   "metadata": {},
   "source": [
    "Currently, we format the inputs using a `RunnableLambda` while we add image support to `ChatPromptTemplates`.\n",
    "\n",
    "Our runnable follows the classic RAG flow - \n",
    "\n",
    "* We first compute the context (both \"texts\" and \"images\" in this case) and the question (just a RunnablePassthrough here) \n",
    "* Then we pass this into our prompt template, which is a custom function that formats the message for the gpt-4-vision-preview model. \n",
    "* And finally we parse the output as a string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "4c93fab3-74c4-4f1d-958a-0bc4cdd0797e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from operator import itemgetter\n",
    "\n",
    "from langchain_core.messages import HumanMessage, SystemMessage\n",
    "from langchain_core.output_parsers import StrOutputParser\n",
    "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "\n",
    "def prompt_func(data_dict):\n",
    "    # Joining the context texts into a single string\n",
    "    formatted_texts = \"\\n\".join(data_dict[\"context\"][\"texts\"])\n",
    "    messages = []\n",
    "\n",
    "    # Adding image(s) to the messages if present\n",
    "    if data_dict[\"context\"][\"images\"]:\n",
    "        image_message = {\n",
    "            \"type\": \"image_url\",\n",
    "            \"image_url\": {\n",
    "                \"url\": f\"data:image/jpeg;base64,{data_dict['context']['images'][0]}\"\n",
    "            },\n",
    "        }\n",
    "        messages.append(image_message)\n",
    "\n",
    "    # Adding the text message for analysis\n",
    "    text_message = {\n",
    "        \"type\": \"text\",\n",
    "        \"text\": (\n",
    "            \"As an expert art critic and historian, your task is to analyze and interpret images, \"\n",
    "            \"considering their historical and cultural significance. Alongside the images, you will be \"\n",
    "            \"provided with related text to offer context. Both will be retrieved from a vectorstore based \"\n",
    "            \"on user-input keywords. Please use your extensive knowledge and analytical skills to provide a \"\n",
    "            \"comprehensive summary that includes:\\n\"\n",
    "            \"- A detailed description of the visual elements in the image.\\n\"\n",
    "            \"- The historical and cultural context of the image.\\n\"\n",
    "            \"- An interpretation of the image's symbolism and meaning.\\n\"\n",
    "            \"- Connections between the image and the related text.\\n\\n\"\n",
    "            f\"User-provided keywords: {data_dict['question']}\\n\\n\"\n",
    "            \"Text and / or tables:\\n\"\n",
    "            f\"{formatted_texts}\"\n",
    "        ),\n",
    "    }\n",
    "    messages.append(text_message)\n",
    "\n",
    "    return [HumanMessage(content=messages)]\n",
    "\n",
    "\n",
    "model = ChatOpenAI(temperature=0, model=\"gpt-4-vision-preview\", max_tokens=1024)\n",
    "\n",
    "# RAG pipeline\n",
    "chain = (\n",
    "    {\n",
    "        \"context\": retriever | RunnableLambda(split_image_text_types),\n",
    "        \"question\": RunnablePassthrough(),\n",
    "    }\n",
    "    | RunnableLambda(prompt_func)\n",
    "    | model\n",
    "    | StrOutputParser()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1566096d-97c2-4ddc-ba4a-6ef88c525e4e",
   "metadata": {},
   "source": [
    "## Test retrieval and run RAG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "90121e56-674b-473b-871d-6e4753fd0c45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GREAT PHOTOGRAPHS\n",
      "The subject of the photo, Florence Owens Thompson, a Cherokee from Oklahoma, initially regretted that Lange ever made this photograph. “She was a very strong woman. She was a leader,” her daughter Katherine later said. “I think that's one of the reasons she resented the photo — because it didn't show her in that light.”\n",
      "\n",
      "DOROTHEA LANGE. “DESTITUTE PEA PICKERS IN CALIFORNIA. MOTHER OF SEVEN CHILDREN. AGE THIRTY-TWO. NIPOMO, CALIFORNIA.” MARCH 1936. NITRATE NEGATIVE. FARM SECURITY ADMINISTRATION-OFFICE OF WAR INFORMATION COLLECTION. PRINTS AND PHOTOGRAPHS DIVISION.\n",
      "\n",
      "—Helena Zinkham\n",
      "\n",
      "—Helena Zinkham\n",
      "\n",
      "NOVEMBER/DECEMBER 2020 LOC.GOV/LCM\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"\" />"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "THEYRE WILLING TO HAVE MEENTERTAIN THEM DURING THE DAY,BUT AS SOON AS IT STARTSGETTING DARK, THEY ALLGO OFF, AND LEAVE ME!\n"
     ]
    }
   ],
   "source": [
    "from IPython.display import HTML, display\n",
    "\n",
    "\n",
    "def plt_img_base64(img_base64):\n",
    "    # Create an HTML img tag with the base64 string as the source\n",
    "    image_html = f'<img src=\"data:image/jpeg;base64,{img_base64}\" />'\n",
    "\n",
    "    # Display the image by rendering the HTML\n",
    "    display(HTML(image_html))\n",
    "\n",
    "\n",
    "docs = retriever.get_relevant_documents(\"Woman with children\", k=10)\n",
    "for doc in docs:\n",
    "    if is_base64(doc.page_content):\n",
    "        plt_img_base64(doc.page_content)\n",
    "    else:\n",
    "        print(doc.page_content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "69fb15fd-76fc-49b4-806d-c4db2990027d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Visual Elements:\\nThe image is a black and white photograph depicting a woman with two children. The woman is positioned centrally and appears to be in her thirties. She has a look of concern or contemplation on her face, with her hand resting on her chin. Her gaze is directed away from the camera, suggesting introspection or worry. The children are turned away from the camera, with their heads leaning against the woman, seeking comfort or protection. The clothing of the subjects is simple and worn, indicating a lack of wealth. The background is out of focus, drawing attention to the expressions and posture of the subjects.\\n\\nHistorical and Cultural Context:\\nThe photograph was taken by Dorothea Lange in March 1936 and is titled \"Destitute pea pickers in California. Mother of seven children. Age thirty-two. Nipomo, California.\" It was taken during the Great Depression in the United States, a period of severe economic hardship. The woman in the photo, Florence Owens Thompson, was a Cherokee from Oklahoma. The image is part of the Farm Security Administration-Office of War Information Collection, which aimed to document and bring attention to the plight of impoverished farmers and workers during this era.\\n\\nInterpretation and Symbolism:\\nThe photograph, often referred to as \"Migrant Mother,\" has become an iconic symbol of the Great Depression. The woman\\'s expression and posture convey a sense of worry and determination, reflecting the resilience and strength required to endure such difficult times. The children\\'s reliance on their mother for comfort underscores the family\\'s vulnerability and the burdens placed upon the woman. Despite the hardship conveyed, the image also suggests a sense of dignity and maternal protectiveness.\\n\\nThe text provided indicates that Florence Owens Thompson was a strong and leading figure within her community, which contrasts with the vulnerability shown in the photograph. This dichotomy highlights the complexity of Thompson\\'s character and the circumstances of the time, where even the strongest individuals faced moments of hardship that could overshadow their usual demeanor.\\n\\nConnections Between Image and Text:\\nThe text complements the image by providing personal insight into the subject\\'s feelings about the photograph. It reveals that Thompson resented the photo because it did not reflect her strength and leadership qualities. This adds depth to our understanding of the image, as it suggests that the moment captured by Lange is not fully representative of Thompson\\'s character. The photograph, while powerful, is a snapshot that may not encompass the entirety of the subject\\'s identity and life experiences.\\n\\nThe final line of the text, \"They\\'re willing to have me entertain them during the day, but as soon as it starts getting dark, they all go off, and leave me!\" could be interpreted as a metaphor for the transient sympathy of society towards the impoverished during the Great Depression. People may have shown interest or concern during the crisis, but ultimately, those suffering, like Thompson and her family, were left to face their struggles alone when the attention faded. This line underscores the isolation and abandonment felt by many during this period, which is poignantly captured in the photograph\\'s portrayal of the mother and her children.'"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chain.invoke(\"Woman with children\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "227f08b8-e732-4089-b65c-6eb6f9e48f15",
   "metadata": {},
   "source": [
    "We can see the images retrieved in the LangSmith trace:\n",
    "\n",
    "LangSmith [trace](https://smith.langchain.com/public/69c558a5-49dc-4c60-a49b-3adbb70f74c5/r/e872c2c8-528c-468f-aefd-8b5cd730a673)."
   ]
  }
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